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Full-Text Articles in Quantitative Psychology

Determinants Of Corporal Punishment And Severe Physical Punishment In Egypt: A Mixed-Methods Analysis For Child Protection Policy, Marwa Moustafa Nassef Jun 2026

Determinants Of Corporal Punishment And Severe Physical Punishment In Egypt: A Mixed-Methods Analysis For Child Protection Policy, Marwa Moustafa Nassef

Theses and Dissertations

Corporal punishment (CP) and severe physical punishment (SPP) remain a major public health, child rights, and child protection policy concern. In Egypt, despite legislative reforms, survey-weighted analysis of the 2021 Egypt Family Health Survey (EFHS) 2021 (CAPMAS, 2022) reveals prevalence rates of 60.5% for CP and 27.4% for SPP among children aged 1–14 (author’s calculations using EFHS-2021, n=7623), yet evidence distinguishing the determinants of routine corporal punishment from escalation to severe physical punishment remains limited in low- and middle-income contexts. Guided by Bronfenbrenner’s ecological framework, this mixed-methods study identifies key drivers of CP and its escalation to SPP among Egyptian …


A Simulation To Compare Models For A Longitudinal Ordinal Response With A Multilevel Cross-Classified Data Structure, Rachel S. Perlin Jun 2026

A Simulation To Compare Models For A Longitudinal Ordinal Response With A Multilevel Cross-Classified Data Structure, Rachel S. Perlin

Dissertations, Theses, and Capstone Projects

This is a simulation study that compares four models for analyzing three-level longitudinal cross-classified data with an ordinal outcome, treatment effect and a category-specific effect. The models include the cumulative model, the sequential model, the adjacent category model, and a metric model. Data were generated for each of the first three models with 27,000 generated datasets each, totaling 81,000. The datasets vary along three continuous variables: the number of level-3 units, the ratio of treatment groups to control groups, and the treatment effect size. The outcome has four ordinal response categories. Each model had two predictor variables: treatment and time. …


An Equity-Based And Culturally Responsive Bill Of Rights For Early Childhood Students Of Color With Exceptionalities, Evette Simmons-Reed, Michelle Frazier Trotman Scott, Gloria Tardash, Mildred Boveda, Donna Y. Ford May 2026

An Equity-Based And Culturally Responsive Bill Of Rights For Early Childhood Students Of Color With Exceptionalities, Evette Simmons-Reed, Michelle Frazier Trotman Scott, Gloria Tardash, Mildred Boveda, Donna Y. Ford

Perspectives on Early Childhood Psychology and Education

The COVID-19 pandemic exacerbated existing disparities in early intervention (EI) and early childhood special education (ECSE) services for culturally and linguistically diverse (CLD) disabled children, exposing critical gaps in access, services and support. systemic inconsistencies in implementation, training, and funding, remain barriers limit opportunities for CLD students to benefit, despite the aims of the Individuals with Disabilities Improvement Act (IDEA). To address these inequities, this manuscript proposes an expanded and updated Culturally Responsive Equity-Based Bill of Rights for EI and ECSE. Building upon Ford and colleagues' (2018) work, this revised document extends protections to children aged zero to five, emphasizing …


Latent Transition Analysis: A Statistical Method For Identifying Underlying Subgroups Over Time, Holmes Finch May 2026

Latent Transition Analysis: A Statistical Method For Identifying Underlying Subgroups Over Time, Holmes Finch

Perspectives on Early Childhood Psychology and Education

Researchers working in early childhood research are often interested in assessing change over time in multiple variables. In addition, they may wish to ascertain whether there exist subgroups in the data with respect to these variables, and whether/how membership in these groups is related. Latent transition analysis (LTA) provides such researchers with a useful tool for investigating questions around such groups, including their composition, frequency, and the likelihood of moving from one to another at different points in time. The purpose of this manuscript is to provide a full demonstrate of LTA and show how it can be used to …


Using Multilevel Modeling To Understand Nested Data, Holmes Finch May 2026

Using Multilevel Modeling To Understand Nested Data, Holmes Finch

Perspectives on Early Childhood Psychology and Education

Researchers in the social sciences often work with nested data, in which individuals are collected in higher level clusters. For example, educational research often involves working with samples in which students are nested within schools. Standard data analyses, such as regression and analysis of variance (ANOVA), yield statistically biased results when this nested structure is ignored. One widely used and effective approach for handling such nested data is multilevel modeling. The purpose of this manuscript is to review the basics of multilevel modeling and to provide the reader with a fully worked example in which the analytic approach and results …


Using Effect Sizes, Confidence Intervals, And The Bayes Factor To Better Understand The T-Test, Analysis Of Variance, And Regression Results, Holmes Finch May 2026

Using Effect Sizes, Confidence Intervals, And The Bayes Factor To Better Understand The T-Test, Analysis Of Variance, And Regression Results, Holmes Finch

Perspectives on Early Childhood Psychology and Education

Null hypothesis testing is a widely used paradigm for assessing research hypotheses across the social sciences. Despite their ubiquity, researchers have discussed a number of problems and limitations to hypothesis testing and have suggested alternatives that might provide greater depth and explanation of research results. The purpose of this paper is to describe the use of several such alternatives and to show how they can be integrated with one another and with null hypothesis testing in order to provide a more holistic view of research hypotheses.


Guest Editor's Introduction: Methodological Innovations For Advancing Early Childhood Educational And Psychological Research, Anthony Mangino Ph.D. May 2026

Guest Editor's Introduction: Methodological Innovations For Advancing Early Childhood Educational And Psychological Research, Anthony Mangino Ph.D.

Perspectives on Early Childhood Psychology and Education

The goal of this special issue is to provide you, the inquisitive reader and developmental scientist, with some of the methodological tools to aid in augmenting your analytic capacity.


The Item Response Warehouse: What It Is, How To Use It, And Targets For Potential Improvements, Savira D. Nadela, Hansol Lee, Nishka Jain, Ayaan Gupta, Xingyi Zhang, Benjamin W. Domingue Apr 2026

The Item Response Warehouse: What It Is, How To Use It, And Targets For Potential Improvements, Savira D. Nadela, Hansol Lee, Nishka Jain, Ayaan Gupta, Xingyi Zhang, Benjamin W. Domingue

Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊

The Item Response Warehouse (IRW) is a repository of harmonized item response datasets designed to support secondary analysis and methodological research in psychological and educational measurement. This paper serves as a practical guide for researchers interested in using the IRW. We describe the structure of IRW datasets and the quantitative and qualitative metadata available for dataset selection, and we demonstrate how researchers can navigate the IRW website to explore and compare available tables. We further show how the IRW R and Python packages can be used to filter datasets programmatically, download response-level data, and generate standardized citations for reproducible research …


Exploring The Impact Of Inpatient Mental Health Care On Adolescents, Alexandria M. Mckahan Dec 2025

Exploring The Impact Of Inpatient Mental Health Care On Adolescents, Alexandria M. Mckahan

2025 Fall Honors Capstones Projects - Archive

Adolescent psychiatric hospitalizations continue to rise, yet there is limited research on which daily practices inside inpatient units genuinely support engagement and recovery. This project examined how structure, staff tone, and therapeutic programming influence adolescents’ participation and emotional stability within a real inpatient setting. The study focused on three questions: how structured routines affect recovery, what challenges staff face when supporting adolescents with complex needs, and how adolescents’ engagement patterns reflect their perception of care. Using a mixed-methods case study at Mesa Springs Behavioral Health Hospital, I conducted approximately twenty field observations, semi-structured staff interviews, and descriptive engagement tracking across …


Examining The Impact Of A Utility Value Intervention On Self-Regulated Learning Engagement, Wanda D. Brooks Aug 2025

Examining The Impact Of A Utility Value Intervention On Self-Regulated Learning Engagement, Wanda D. Brooks

STEMPS Theses & Dissertations

The purpose of this study was to examine the impact of inserting a motivation intervention into a self-regulated learning training in an introductory biology course to increase academic performance and persistence to degree completion in science. The study was an experimental design with pre- and post-tests, with treatment and comparison groups. The training was in the form of three self-regulated learning cycles presented to students on a Blackboard Organization site where students were asked to record self-regulated learning activities in a journal during training. The primary aim of the intervention was to increase engagement in the self-regulated learning training by …


Polymathy: The Foundational Source Of Creativity And Innovation., Michael Araki Aug 2025

Polymathy: The Foundational Source Of Creativity And Innovation., Michael Araki

Electronic Theses and Dissertations

In an era of mounting complexity and a growing need to transcend siloed thinking, this dissertation advances polymathy as a critical yet underexplored construct in the management and behavioral sciences. Polymathy is framed as an expansive approach to the pursuit, development, and application of knowledge, marked by the conjunction of breadth, depth, and integration. Building on a thought lineage that stretches from Ancient Greece through the Renaissance to the present day, this work shows that polymathy is neither a relic of the past nor an achievement reserved for a few—but a mode of being, thinking, and acting in the world …


We Know The Odds Aren't Ever In Our Favor: Toward An Understanding Of White Privilege Deprivation Amongst Black Individuals And The Initial Validation Of The White Privilege Deprivation Scale, Jennifer Burris Jan 2025

We Know The Odds Aren't Ever In Our Favor: Toward An Understanding Of White Privilege Deprivation Amongst Black Individuals And The Initial Validation Of The White Privilege Deprivation Scale, Jennifer Burris

Theses and Dissertations--Educational, School, and Counseling Psychology

Social science scholarship acknowledges that disparities affecting Black people in the United States are rooted in historical race-based oppression (Black & Stone, 2005; Borell, Barnes, & McCreanor, 2018; Harrell, 2000; Mills, 1997). Yet little is understood about the ways Black people psychologically experience being denied the social privileges conferred upon Whites (i.e., White privilege). The belief that White privilege exists, along with the perceptions that Black people as a group are systematically deprived of benefits conferred upon Whites, could expose Black people to negative psychological and psychosocial experiences. As such, White privilege deprivation (the belief one is denied the social …


Individual Participant Data Meta-Analysis Of Single-Case Experimental Design Data: A Comparison Of Bayesian And Restricted Maximum Likelihood Estimation, Yukang Xue Jan 2025

Individual Participant Data Meta-Analysis Of Single-Case Experimental Design Data: A Comparison Of Bayesian And Restricted Maximum Likelihood Estimation, Yukang Xue

Electronic Theses & Dissertations (2024 - present)

Two-stage individual participant data (IPD) meta-analysis can be used to synthesize intervention effects from single-case experimental design (SCED) studies with multilevel modeling. However, various challenges exist at both stages, including standardizing the intervention effect size, accounting for autocorrelation, and estimating the between-study and between-case variances. While both restricted maximum likelihood estimation (REML) and Bayesian estimation can be used to estimate model parameters, REML has been more commonly applied despite the potential advantages offered by Bayesian methods. Moreover, no methodological studies have focused on Bayesian estimation in the context of meta-analysis of SCED studies, let alone when IPD meta-analysis (often recommended …


Model Selection Posterior Predictive Model Checking Via Limited-Information Indices For Bayesian Diagnostic Classification Modeling, Jihong Zhang, Jonathan Templin, Xinya Liang Dec 2024

Model Selection Posterior Predictive Model Checking Via Limited-Information Indices For Bayesian Diagnostic Classification Modeling, Jihong Zhang, Jonathan Templin, Xinya Liang

Counseling, Leadership, and Research Methods Faculty Publications and Presentations

Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model evaluation tool, which allows researchers to detect Q-matrix misspecification. However, model selection methods using posterior predictive checking (PPC) for Bayesian DCM are not well investigated. Thus, this research aims to propose a novel model selection approach using posterior predictive checking with limited-information statistics for selecting the correct Q-matrix. A simulation study was conducted to examine …


Unraveling The Impact Of Cognitive Test Anxiety On Academic Performance Among Adolescents: The Case Of Minority And Majority Communities, Zulfiqar Ullah Siddiqui, Wael M. F. Abuhassan Nov 2024

Unraveling The Impact Of Cognitive Test Anxiety On Academic Performance Among Adolescents: The Case Of Minority And Majority Communities, Zulfiqar Ullah Siddiqui, Wael M. F. Abuhassan

An-Najah University Journal for Research - B (Humanities)

Background: Within the Indian society and its many communities, adolescents exhibit a wide range of individual differences, including cognitive abilities, learning styles, and personality traits. These differences can influence how students perceive and cope with test anxiety and related stress. Objective: The primary goal of this research study was to investigate the influence of cognitive test anxiety on academic performance in adolescents from both minority (Muslims) and majority (Hindus) communities in India. Method: Based on descriptive-inferential research design, a sample of 450 students was selected, with 223 students representing the majority community and the remaining 227 students representing the minority …


Navigating Non-Orthogonality: Exploring Latent Mean Differences In Unbalanced Conditions, Jay B. Jeffries Nov 2024

Navigating Non-Orthogonality: Exploring Latent Mean Differences In Unbalanced Conditions, Jay B. Jeffries

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Researchers understand that conducting numerous pairwise comparisons between group means increases the Type I error rate, prompting the use of planned contrasts like orthogonal contrast sets. Implicit to orthogonal contrast sets is the principal assumption that groups are balanced in size. Further, when dealing with complex variables like latent constructs, specialized modeling is necessary. Understanding how violations of the assumptions of an orthogonal contrast set and the latent variable model approach can help identify variation in the accuracy of group mean difference. However, hindrances to the accuracy of latent mean orthogonal comparisons when this assumption is untenable remains unsettled. This …


Exploring The Associations Between Perceived Parent Communication And Involvement, Community Violence Exposure During Adolescence, And Subsequent Risk For Alcohol Use Disorder In Young Adulthood, Alexandra Toscova Tonigan Oct 2024

Exploring The Associations Between Perceived Parent Communication And Involvement, Community Violence Exposure During Adolescence, And Subsequent Risk For Alcohol Use Disorder In Young Adulthood, Alexandra Toscova Tonigan

Individual, Family, and Community Education ETDs

This dissertation explores the dynamics between parenting practices, family structure, community violence exposure, and adolescent development through three interrelated studies. Collectively, these papers address how family environments shape adolescent experiences and outcomes, including alcohol use disorder (AUD). Using data from the Add Health study, this dissertation offers insights for researchers and clinicians supporting youth in vulnerable contexts. Chapter 1 examines the influence of average perceived communication and involvement, as well as differences in these behaviors between parents, on adolescent community violence exposure. This study critiques the conventional focus on averages, emphasizing the impact of discordant parenting. Chapter 2 investigates how …


Investigating The Direction Of Item Parameter Bias In The Presence Of Rapid Guessing, Sarah Alahmadi May 2024

Investigating The Direction Of Item Parameter Bias In The Presence Of Rapid Guessing, Sarah Alahmadi

Dissertations, 2020-current

Inadequate examinee test-taking effort is especially concerning when the results of low-stakes tests are used to inform high-stakes policy or psychometric decisions. Although abundant is the literature on the negative impact of low test-taking effort (e.g., Wise & DeMars, 2005) and ways to address it (e.g., Alahmadi & DeMars, 2024; Lau et al., 2009), integrating it into assessment practices has long been in a rudimentary stage. The findings presented in this dissertation serve as a clarion call for testing professionals to reinforce efforts that bridge research and practice. The current study investigated how rapid guessing (RG)—a form of non-effortful test-taking …


Using Bayesian Generalized Structural Equation Modeling To Analyze Latent Agreement, Sydne T. Mccluskey Feb 2023

Using Bayesian Generalized Structural Equation Modeling To Analyze Latent Agreement, Sydne T. Mccluskey

Dissertations, Theses, and Capstone Projects

Rater comparison analysis is commonly necessary in the social sciences. Conventional approaches to the problem generally focus on calculation of agreement statistics, which provide useful but incomplete information about rater agreement. Importantly, one-number agreement statistics give no indication regarding the nature of disagreements, nor do they distinguish between agreement on presence versus absence of a state or trait. Latent variable models can address both problems, as well as overcoming other well-documented limitations of agreement statistics (e.g., sample dependence, inappropriate population assumptions). Whether raters exactly agree is usually not the question of interest – researchers almost never care whether the difference …


The Effect Of Parental Socialization On The Postsecondary Plans Of Latino/Hispanic Students, Nilda Ivette Rosario Jan 2022

The Effect Of Parental Socialization On The Postsecondary Plans Of Latino/Hispanic Students, Nilda Ivette Rosario

Walden Dissertations and Doctoral Studies

Latino/Hispanics are one of the largest ethnic minority groups in the United States, yet they are underrepresented in higher education. Grounded on the social cognitive theory and the Hoover-Dempsey and Sandler model, the purpose of this study was to examine the relationship between parental expectations, parental involvement, parental self-efficacy, and postsecondary planning of Latino/Hispanic students. The research questions were formulated to determine whether parental factors among Latino/Hispanic parents can predict postsecondary educational outcomes among Latino/Hispanic students. A quantitative correlational research study design was used. The target population was Latino/Hispanic parents residing in the United States with at least one child …


A Measure Of Psychological Needs For Higher Education Students: A Validation Study, Elyzia Edward Powers Jan 2022

A Measure Of Psychological Needs For Higher Education Students: A Validation Study, Elyzia Edward Powers

Graduate Research Theses & Dissertations

Previous research on the basic psychological needs of students (from Self-Determination Theory) in the United States has largely focused on students in K-12 school systems. Additionally, no measure of the basic psychological needs satisfaction and frustration mini- theory has been validated in the United States for students at higher education institutions. The current study sought to contribute to the fields of psychometrics and Self-Determination Theory for students at one large, Midwestern university by adapting a measure of the basic psychological needs satisfaction and frustration and validating it with undergraduate students. Many adaptational changes were made to the measure, including adding …


The Effect Of Parental Socialization On The Postsecondary Plans Of Latino/Hispanic Students, Nilda Ivette Rosario Jan 2022

The Effect Of Parental Socialization On The Postsecondary Plans Of Latino/Hispanic Students, Nilda Ivette Rosario

Walden Dissertations and Doctoral Studies

Latino/Hispanics are one of the largest ethnic minority groups in the United States, yet they are underrepresented in higher education. Grounded on the social cognitive theory and the Hoover-Dempsey and Sandler model, the purpose of this study was to examine the relationship between parental expectations, parental involvement, parental self-efficacy, and postsecondary planning of Latino/Hispanic students. The research questions were formulated to determine whether parental factors among Latino/Hispanic parents can predict postsecondary educational outcomes among Latino/Hispanic students. A quantitative correlational research study design was used. The target population was Latino/Hispanic parents residing in the United States with at least one child …


Investigating The Fit Of The Generalized Graded Unfolding Model (Ggum) When Calibrated To Irt Generated Data From Dominance And Ideal Point Models, Abdulla Alzarouni Jul 2021

Investigating The Fit Of The Generalized Graded Unfolding Model (Ggum) When Calibrated To Irt Generated Data From Dominance And Ideal Point Models, Abdulla Alzarouni

College of Education and Human Sciences: Dissertations, Theses, and Student Research

The assessment of model fit in latent trait modelling, better known as item response theory (IRT), is an integral part of model testing if one is to make valid inferences about the estimated parameters and their properties based on the selected IRT model. Though important, the assessment of model fit has been less utilized in IRT research than it should. For example, there have been less research investigating fit for polytomous dominance models such the Graded Response Model (GRM), and to a lesser extent ideal point models such as the Generalized Graded Unfolding Models (GGUM), both in its dichotomous and …


Getting Caught-Up In The Process: Does It Really Matter?, Nikole Gregg May 2021

Getting Caught-Up In The Process: Does It Really Matter?, Nikole Gregg

Dissertations, 2020-current

Likert items are the most commonly used item-type for measuring attitudes and beliefs. However, responses from Likert items are often plagued with construct-irrelevant variance due to response style behavior. In other words, variability from Likert-item scores can be parsed into: 1) variance pertinent to the construct or trait of interest, and 2) variance irrelevant to the construct or trait of interest. Multidimensional Item Response Theory (MIRT) is an increasingly common modeling approach to parse out information regarding the response style traits and the trait of interest. These MIRT approaches are categorized into threshold-based approaches and response process approaches. An increasingly …


Examining Relations Between Executive Functions And Decoding: A Meta-Analytic Investigation, Teresa Ober Sep 2019

Examining Relations Between Executive Functions And Decoding: A Meta-Analytic Investigation, Teresa Ober

Dissertations, Theses, and Capstone Projects

Introduction: The Simple View of Reading (SVR) is one of several established models of reading that present decoding and linguistic comprehension as critical skills in the development of reading competencies. Previous research has highlighted the connection between reading comprehension and cognitive skills, including those which fall under the term of executive functions (EF; for a review, see Follmer, 2018). EF may also be critical in the development of decoding. According to the dual route model of word recognition (Coltheart, 2006), decoding involves two separable processes; the phonological route, involving encoding and retrieval of letter-sound associations (also called phoneme-to-grapheme correspondence rules), …


Test Emotions, Value, And Self-Efficacy: A Longitudinal Model Predicting Examinee Effort And Performance On A Low-Stakes Test, Paulius Satkus May 2019

Test Emotions, Value, And Self-Efficacy: A Longitudinal Model Predicting Examinee Effort And Performance On A Low-Stakes Test, Paulius Satkus

Masters Theses, 2010-2019

The validity of scores from low-stakes tests may be compromised by examinee motivation. Expectancy-Value theory (EV) has been used to frame the antecedents of examinee motivation in low-stakes testing contexts. According to EV theory, the perceived value of the test and the expectancy to succeed on the test directly affect examinee effort, which then affects test performance. Cross-sectional research studies in low-stakes testing contexts offer some support of EV theory. Control-Value theory (CV) serves as another theory to understand motivation toward a task. CV theory encompasses the constructs of expectancy and value from EV theory, but incorporates test emotions as …


Mathematics Attitudes And Mathematics Performance: Novel Approaches Towards Noncognitive Educational Measurement, Applications To Large-Scale Assessment Data, And Examinations Of Multigroup Invariance, Kalina Gjicali May 2019

Mathematics Attitudes And Mathematics Performance: Novel Approaches Towards Noncognitive Educational Measurement, Applications To Large-Scale Assessment Data, And Examinations Of Multigroup Invariance, Kalina Gjicali

Dissertations, Theses, and Capstone Projects

Academic performance is predicted by a multitude of demographic, contextual, cognitive, and noncognitive constructs. The noncognitive factors of achievement in mathematics that have previously been explored in depth are study skills, collaborative problem-solving, confidence, self-efficacy, and personality traits (Kyllonen, 2012). Limited applied research has explored the predictive value of noncognitive factors such as attitudes and beliefs in mathematics achievement – even though attitudes towards mathematics are a promising avenue for understanding the variability in mathematics achievement. The current research uses the theory of planned behavior (TPB) to explain high school students’ performance in mathematics in a series of three studies. …


An Exploration Of Deaf Education Through The Experiences Of Culturally Deaf Adults, Stephanie Beatty Jan 2019

An Exploration Of Deaf Education Through The Experiences Of Culturally Deaf Adults, Stephanie Beatty

Walden Dissertations and Doctoral Studies

Deaf students have unique linguistic and cultural needs that are cultivated in social settings; however, these needs have received minimal consideration from school administrators and policy makers when designing and implementing educational programs. Inquiry regarding how Deaf people learn in social situations and whether these processes are present in formal educational settings is necessary to understand how to better serve this population in school. Observations were used to provide insight on how deaf people teach and learn from one another in social/informal settings. Individual interviews with 11 Deaf people ages 18 to 40 provided insight regarding personal experiences in formal …


Resiliency Of Students Who Failed The State Of Texas Assessments Of Academic Readiness Exam, Tetaime Sherie Green Jan 2019

Resiliency Of Students Who Failed The State Of Texas Assessments Of Academic Readiness Exam, Tetaime Sherie Green

Walden Dissertations and Doctoral Studies

The purpose of this study was to investigate former high school students' resilience following the administration of the State of Texas Assessments of Academic Readiness (STAAR) exam based on the comparison of male and female students who passed the STAAR exam the first time and those who failed it at least 2 times. This study fills a gap in the literature by offering additional data and increased knowledge about the relationship of resiliency to school performance. A total of 133 adults aged 18-29 years who had been enrolled in 3 high schools in a large metropolitan area in Texas were …


Assessing Executive Functioning In Young Children With Autism Spectrum Disorder, Julie Johnson Miller Jan 2018

Assessing Executive Functioning In Young Children With Autism Spectrum Disorder, Julie Johnson Miller

Walden Dissertations and Doctoral Studies

This study examined the inconsistency within research surrounding the relationship between executive functioning skills and autism symptomology in those being assessed for autism in early childhood (e.g., 34 to 60 months of age). Inconsistencies in current research connecting autism symptomology and executive dysfunction affect the best practice of practitioners that assess for disabilities. This study aimed to identify correlations between autism symptomology and executive functioning skills and whether combining autism symptomology and executive functioning skills assessments provide a more reliable classification as autism or non-autism. The framework foundation drew upon research that determined connections between those suffering from traumatic brain …